Alice Xiang

Orcid: 0000-0001-7907-9353

According to our database1, Alice Xiang authored at least 27 papers between 2019 and 2024.

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Bibliography

2024
A Taxonomy of Challenges to Curating Fair Datasets.
CoRR, 2024

Position: Measure Dataset Diversity, Don't Just Claim It.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Not My Voice! A Taxonomy of Ethical and Safety Harms of Speech Generators.
Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, 2024

Resampled Datasets Are Not Enough: Mitigating Societal Bias Beyond Single Attributes.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Efficient Bias Mitigation Without Privileged Information.
Proceedings of the Computer Vision - ECCV 2024, 2024

2023
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models.
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Trans. Mach. Learn. Res., 2023

Ethical Considerations for Collecting Human-Centric Image Datasets.
CoRR, 2023

Considerations for Ethical Speech Recognition Datasets.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Ethical Considerations for Responsible Data Curation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Men Also Do Laundry: Multi-Attribute Bias Amplification.
Proceedings of the International Conference on Machine Learning, 2023

A View From Somewhere: Human-Centric Face Representations.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Beyond Skin Tone: A Multidimensional Measure of Apparent Skin Color.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Augmented Datasheets for Speech Datasets and Ethical Decision-Making.
Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

Flickr Africa: Examining Geo-Diversity in Large-Scale, Human-Centric Visual Data.
Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 2023

2022
Towards the Use of Saliency Maps for Explaining Low-Quality Electrocardiograms to End Users.
CoRR, 2022

Promises and Challenges of Causality for Ethical Machine Learning.
CoRR, 2022

Regulating Facial Processing Technologies: Tensions Between Legal and Technical Considerations in the Application of Illinois BIPA.
Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

Attrition of Workers with Minoritized Identities on AI Teams.
Proceedings of the Equity and Access in Algorithms, Mechanisms, and Optimization, 2022

2021
A Multistakeholder Approach Towards Evaluating AI Transparency Mechanisms.
CoRR, 2021

What We Can't Measure, We Can't Understand: Challenges to Demographic Data Procurement in the Pursuit of Fairness.
Proceedings of the FAccT '21: 2021 ACM Conference on Fairness, 2021

On the Validity of Arrest as a Proxy for Offense: Race and the Likelihood of Arrest for Violent Crimes.
Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty.
Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

2020
Affirmative Algorithms: The Legal Grounds for Fairness as Awareness.
CoRR, 2020

Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty.
CoRR, 2020

Machine Learning Explainability for External Stakeholders.
CoRR, 2020

Explainable machine learning in deployment.
Proceedings of the FAT* '20: Conference on Fairness, 2020

2019
On the Legal Compatibility of Fairness Definitions.
CoRR, 2019


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